To investigate the performance of ES for Poisson model in practice, we apply our procedure to British coal disasters dataset. This dataset is quite well-known in the context of Poisson segmentation see [1]}, [2]}, [3]} and [4]} for example. We choose this dataset mainly because of two reasons. First, the changepoints have been studied by many different methods which makes it easier to understand our result. Besides, the sequence has a general tendency to decrease with the progress over time which can be correlated to implementing safety regulation in the history. Though pretty rough, we have some evidence to evaluate the changepoint detection procedures on this dataset.
